Sparkling Pandas aims to make use of the distributed computing power of PySpark to scale the data analysis with Pandas. This is built on Spark's DataFrame and provides API similar to Pandas. This recipe shows how to use Sparkling Pandas.
To step through this recipe, you will need a running Spark Cluster either in pseudo distributed mode or in one of the distributed modes, that is, standalone, YARN, or Mesos. Also, have Python and IPython installed on the Linux machine, that is, Ubuntu 14.04.
Install
blas
,scipy
, andsparklingpandas
as follows:apt-get install libblas-dev liblapack-dev libatlas-base-dev gfortran pip install scipy pip install sparklingpandas
Now import the package as follows:
import sparklingpandas ipython console -profile=pyspark In [1]: from pyspark import SparkConf, SparkContext, SQLContext In [2]: import pandas as pd In [3]: sqlcontext =...